Research Scientist Intern - Synthetic Data for Computer Use Agents

Our team builds synthetic data and simulation tools & infra to train AI agents that use computers to complete everyday tasks. We are looking for a PhD intern to research how to generate tasks that require stronger planning and reasoning, with an initial focus on planning and navigation workflows.

The intern will design generation methods, build prototypes, and run experiments to understand which kinds of task difficulty help agents learn. The project combines research with practical engineering and offers an opportunity to contribute to training data for frontier models.